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Experimental and numerical dye washout flow visualization

Flow analysis in the realistic model of pathologic artery enlargement (aneurysm)

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Abstract

Flow visualization in realistic models is very important for the study of pathological vessel enlargements (aneurysms). Furthermore, flow visualization may help in treatment decisions. However, the most interesting parameter, the wall shear stress, is difficult to measure in vivo. This parameter can be provided by computational fluid dynamics. However, the numerical methods don’t visualize the results as does of the dye washout method — a method often used in flow studies. This experimental method simulates the cine angiograms acquired during contrast agent injection used in medicine. In this paper we present the dye washout visualization of CFD results and compare these results with the conventional dye washout experiments in the same aneurysm model under steady flow conditions.

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Leonid Goubergrits: He received his MSc (Physics) in Fluid Mechanics in 1993 from Moscow Institute of Physics and Technology, Department of the Aeromechanics and Flying Machines. He also received his doctorate in Engineering in 2000 from Technical University of Berlin. Since 1996, Leonid Goubergrits works in Biofluidmechanics Laboratory, Humboldt University of Berlin as a research assistant. His research interests are Quantitative Visualization, PIV, CFD, flow optimization of the artificial organs and flow analysis of the blood flow in the native vessels.

Christoph Petz: He received his diploma in computer science in 2003 from the University of Marburg, Germany. He wrote his diploma thesis at the Max-Planck-Institut für Informatik. Currently, he works at the Konrad-Zuse-Institute Berlin (ZIB) as a researcher at the Scientific Visualization group. His research interests are hardware-based rendering and volume visualization.

Detlev Stalling: He received his diploma in physics in 1993 from the Free University Berlin, and his Ph.D. in 1998 in mathematics and computer science also at the Free University Berlin. In his Ph.D. thesis he worked on fast textured-based algorithms for flow visualization. Since 1994, Detlev Stalling is a member of the scientific visualization group at the Zuse-Institue Berlin (ZIB). In 1999, he co-founded Indeed — Visual Concepts GmbH, a company developing an advanced 3D visualization software system called Amira. His research interest covers all kinds of data visualization algorithms as well as virtual reality techniques.

Andreas Spuler: He studied Medicine in Würzburg, Vienna, and Zurich. He received his doctorate in Medicine from the Ludwig-Maximilians University Munich in 1989. As a postdoctoral fellow he worked at the Institute of Neurophysiology in Munich and at the Brain Research Institute in Zurich. He did his residency in neurosurgery at the University Hospital Munich and a neurosurgical fellowship at the Mayo Clinic Rochester 1996/1997. Since 1999, he is a vice chairman of the neurosurgical department of the Helios Klinikum Berlin. His research interest is focused on neurovascular disorders, their pathophysiology and treatment.

Klaus Affeld: He received his diploma degree in aircraft engineering from Technical University Berlin in 1962, and his doctorate (Eng.) in fluid mechanics in 1969 in the same university. He worked in the institute of aircraft engineering before starting his doctorate. After obtaining the doctorate he worked as a researcher in biofluidmechanics, with the cardiac surgeon Professor Bücherl in the development of the artificial heart and at the same time teaching Biofluidmechanics at the Technical University Berlin. In 1987, he founded the Biofluidmechanics Laboratory within the Charité, the university hospital of the Humboldt University. His research interests are blood flow including flow in artificial organs, experimental methods in fluid mechanics, biomedical engineering and biomechanics.

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Goubergrits, L., Petz, C., Stalling, D. et al. Experimental and numerical dye washout flow visualization. J Vis 7, 233–240 (2004). https://doi.org/10.1007/BF03181638

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  • DOI: https://doi.org/10.1007/BF03181638

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